landscape-restoration-hydrology-utac
GenesisAeon Package 107 — landscape restoration hydrology. Extends glacier-buffer-utac (P99)/distributed-buffer-resilience-utac (P103)'s distributed-buffer idea with real, quantified evidence for what specific restoration measures actually do. Deliberately has no UTAC/CREP/AFET bridge — see DISCLAIMER.md.
For a plain-language explanation of the same topic (German, no jargon, written for general audiences), see WHITEPAPER.md.
What this is, and what it deliberately excludes
Built on independently re-verified science only: a real, completed German case study, a real hydraulic modeling study, real German national emissions data, and a real large systematic review.
German funding-program mechanics, cost-per-meter/hectare tables, legal frameworks (BauGB, Wasserhaushaltsgesetz), and communication strategy from the source dialogue are deliberately excluded — real and useful for advocacy/project-planning purposes, but not the kind of durable, citable science this ecosystem's packages are built on. Same precedent as mountain-governance-adaptation-utac (P104)'s governance-content scope decision.
What's real here
- Murg River floodplain reconnection, Rastatt — a real, completed, officially documented German project: dike setback 500m (left bank) / 100m (right bank), 57 ha of floodplain reclaimed, 1 million m³ additional retention volume, and a measured 45cm reduction in the 100-year flood water level at Rastatt.
- Umer, Debele, Mvula, Amarnath, Chisola & Marti-Cardona (2025) — a real hydraulic modeling study (Kitwe, Zambia) separating retention ponds (flood depth ↓0.09–0.18m, velocity ↓0.11 m/s avg) from woodland reforestation (↓0.06–0.11m, ↓0.07 m/s avg) — kept as two distinct interventions, never merged.
- UBA/Thünen Institute — German agriculturally drained peat soils emit ~42.5 Mt CO₂-eq/year (corrected from the source dialogue's slightly overstated 43.3 Mt figure).
- Pavlidis & Tsihrintzis (2018, Water Resources Management) — a real systematic review of >2,000 papers: agroforestry/hedgerow systems reduce N/P losses by 20–100% and pesticide losses by up to 90%, with effects localized near the woody vegetation itself.
Quickstart
pip install landscape-restoration-hydrology-utac
from landscape_restoration_hydrology_utac import (
MURG_RASTATT,
RETENTION_PONDS,
WOODLAND_REFORESTATION,
german_drained_peatland_emissions_mt_co2e_per_yr,
np_loss_reduction_pct_range,
pesticide_loss_reduction_pct_max,
)
print(MURG_RASTATT.hq100_reduction_cm) # 45.0
print(RETENTION_PONDS.flow_velocity_reduction_mps_avg) # 0.11
print(WOODLAND_REFORESTATION.flow_velocity_reduction_mps_avg) # 0.07
print(german_drained_peatland_emissions_mt_co2e_per_yr()) # 42.5
print(np_loss_reduction_pct_range()) # (20.0, 100.0)
print(pesticide_loss_reduction_pct_max()) # 90.0
Development
pip install -e ".[dev]"
pre-commit install
ruff check src tests
mypy src
pytest
Citation
See CITATION.cff and .zenodo.json.
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